We integrate a high-performance data science infrastructure within your company to make the most of open-source tools like R- and Python—either in the cloud (AWS, Azure, GCloud) or on-premises (Kubernetes).
Creating a Unified, Cloud-Based Dashboard Framework supporting User Authentication and Continous Integration.
R-Shiny is an excellent framework to create interactive dashboards for data scientists with no extensive web development experience. Similar technologies in other languages include the Flask or Dash Python frameworks. Bringing all different Dashboards under a hood including unified authentication and user management can be a challenging task. We've successfully implemented this framework with AWS.
ACM Shiny Dashboard
Refactoring of an R-Shiny dashboard, implementation of new features and interactive forms. Implementation as an easy-to-maintain R-package and support for continuous integration and deployment within a docker container.
Market Risk Model Refactoring
Refactoring of the Uniqa PIM market risk model codes to an R-package. Implementation of a unit-test-suite to ensure code quality and correctness of calculations.
R Package Deployment Pipeline
Implementation of a continuous integration code pipeline for the market risk modelling packages. Setup and integration of the Jenkins build server and R package repositories for end users.
Our certified RStudio trainers offer in-house and online workshops for your teams. Additionally, we are re-seller for RStudio products and offer consulting services including demos, setup, hosting and maintenance. Check out the products page and contact us to get your first demo.
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